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Responsibilities Develop and refine data pipelines and infrastructure to support AI model development for Copilot.\u00a0 Collaborate with research teams to integrate cutting-edge AI advancements into production systems.\u00a0 Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.\u00a0 Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.\u00a0 Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot\u2019s intelligence.\u00a0\u00a0 Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.\u00a0\u00a0 Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.\u00a0 Embody our\u00a0 Culture and\u00a0 Values .\u00a0\u00a0 Qualifications Required Qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)\u00a0\u00a0 OR equivalent experience.\u00a0 Proven track record of deploying machine learning models in large-scale production environments.\u00a0 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Preferred Qualifications:\u00a0 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.\u00a0 Experience with AI model training, fine-tuning, and evaluation methodologies.\u00a0 Ability to analyze large datasets, extract insights, and apply them to model improvements.\u00a0 Familiarity with research-oriented AI development, collaborating with teams to bridge theory and application.\u00a0 Experience optimizing AI models for performance, efficiency, and interpretability.\u00a0 Ability to work in a fast-paced, research-driven environment, balancing multiple priorities while fostering collaboration.\u00a0 Dedication to writing clean, maintainable, and well-documented code.\u00a0 The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. 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